Zobrazeno 1 - 10
of 1 912
pro vyhledávání: '"Ant Colony Optimization (ACO)"'
Autor:
Tiwari, Anurag, Mohapatra, Priyabrata
Publikováno v:
Benchmarking: An International Journal, 2023, Vol. 31, Issue 7, pp. 2391-2410.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BIJ-10-2021-0589
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 6, Pp 1605-1629 (2024)
Abstract One of the main constituents of any reservoir characterization is an accurate forecast of water saturation, which is highly dependent upon the cementation exponent. Even though there have been a lot of studies, the most common correlations d
Externí odkaz:
https://doaj.org/article/4e5316d64381482ab7415ffe7dcada36
Publikováno v:
IEEE Access, Vol 12, Pp 134651-134671 (2024)
The increasing use of Wireless Sensor Networks (WSNs) is leading to network traffic growth as data exchange among WSN nodes increases. Protecting WSNs from Denial of Service (DoS) attacks is essential for enhancing data security and avoiding interrup
Externí odkaz:
https://doaj.org/article/0c6469f44e05475796ff682fc57f9619
Publikováno v:
IEEE Access, Vol 12, Pp 44817-44825 (2024)
Under conditions of partial shadowing, traditional Maximum Power Point Tracking (MPPT) algorithms face difficulties in precisely locating the maximum power point (MPP) of the system. To address this problem, this paper proposes an optimization algori
Externí odkaz:
https://doaj.org/article/8b06c7e9030244e3ab79a8eb6207eea2
Publikováno v:
IEEE Access, Vol 12, Pp 37692-37701 (2024)
Conventional communications systems centered on data prioritize maximizing network throughput using Shannon’s theory, which is primarily concerned with securely transmitting the data despite limited radio resources. However, in the realm of edge le
Externí odkaz:
https://doaj.org/article/477c9627db6346bab021cd64a6dc366c
Autor:
І. О. Рабійчук, А. В. Фечан
Publikováno v:
Науковий вісник НЛТУ України, Vol 34, Iss 5 (2024)
Analyzed three swarm intelligence algorithms, namely Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), Particle Swarm Optimization (PSO) and the adaptability of these algorithms to a dynamic environment. Firstly, the ACO algorithm was ana
Externí odkaz:
https://doaj.org/article/46ec33d500634d87a0668d911cd6428b
Publikováno v:
Intelligent Systems with Applications, Vol 21, Iss , Pp 200314- (2024)
Determining the bearing capacity of a strip footing under inclined loading is crucial in designing foundations. Due to the complex correlations, the subject area remains predominantly unexplored, or it has been simulated using only limited datasets.
Externí odkaz:
https://doaj.org/article/46ff398712b64b38aaf6b5300fd4888e
Autor:
Mohammed Alatiyyah
Publikováno v:
Symmetry, Vol 16, Iss 6, p 690 (2024)
This paper proposes a flexible travel recommender model (FTRM) that emphasizes the symmetry between user preferences and travel constraints, addressing key challenges in the field such as the integration of diverse constraint types and the customizat
Externí odkaz:
https://doaj.org/article/17c6d88ce89546e29b936eff90f87158
Autor:
Celestine Iwendi
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 4, Iss , Pp 266-276 (2023)
In this comprehensive paper the method of detecting various diseases within short period of time using Audio Reality/ Virtual Reality (AR/VR) techniques is proposed. For proper functioning of AR/VR models in medical applications three distinct algori
Externí odkaz:
https://doaj.org/article/9ac81cc905644d3da51a1965873c1ee5
Publikováno v:
International Journal of Intelligent Unmanned Systems, 2021, Vol. 11, Issue 1, pp. 151-165.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJIUS-08-2021-0093